The latest installment in our Q&A series with women leaders in data features Ghada Richani, the Managing Director of Data & Technology Strategy and the Project Management Office at Bank of America. (Read our previous Q&A here.) An award-winning tech community thought leader, Ghada Richani started her career at Bank of America in 2001. She worked […]
Data-Ed Webinar: Data Management Best Practices
Download the slides here >> This webinar is sponsored by: About the Webinar It is clear that Data Management best practices exist – and so does a useful process for improving existing Data Management practices. The question arises: Since we understand the goal, how does one design a process for Data Management goal achievement? This […]
Data Monetization: The Holy Grail or the Road to Ruin?
Unlocking the value of data is a key focus for business leaders, especially the CIO. While in its simplest form, data can lead to better insights and decision-making, companies are pursuing an entirely different and more advanced agenda: the holy grail of data monetization. This concept involves aggregating a variety of both structured and unstructured […]
How to Foster a Cross-Organizational Approach to Data Initiatives
In today’s business landscape, data reigns supreme. It is the cornerstone of effective decision-making, fuels innovation, and drives organizational success. However, despite its immense potential, many organizations struggle to harness the full power of their data due to a fundamental disconnect between IT and business teams. This division not only impedes progress but also undermines […]
Data Strategy Trends in 2025: From Silos to Unified Enterprise Value
Data strategy trends for 2025 reflect a growing paradox: While organizations race to adopt generative AI and automation, their disconnected data initiatives are creating new silos rather than breaking them down. DATAVERSITY’s® 2024 Trends in Data Management survey highlights this growing challenge, with 68% of respondents citing data silos as their top concern – up 7% from […]
Jan 14 Data-Ed Webinar: Applied Data Strategy
DATE: January 14, 2025 TIME: 2:00 PM – 3:30 PM Eastern / 11:00 AM – 12:30 PM Pacific PRICE: Free to all attendees About the Webinar Too often, the question “Can you help me with our data strategy?” focuses on the least valuable component: the data strategy itself. A more useful request is, “Can you help […]
Feb 27 DAS Webinar: Building a Data Strategy – Practical Steps for Aligning Architecture with Business Goals
DATE: February 27, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar Developing a data strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your data strategy right can provide significant value, as data drives many […]
Mar 27 DAS Webinar: Building the Right Architecture for Analytics & Reporting
DATE: March 27, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar With the rapid changes in technology available to support AI, analytics, and reporting, it can be confusing where to start in creating a modern data architecture. This webinar will cover what new […]
May 22 DAS Webinar: Master Data Management – Aligning Data, Process, and Governance
DATE: May 22, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar Master data management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a […]
Jun 26 DAS Webinar: Where Data Models Fit in Today’s Modern Data Architecture
DATE: June 26, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see […]